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mlops-architecture
This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.data-climate-pipeline
The goal of this project is to analyze temperature data.sparkify-data-pipeline
This project is the final project of the the Data Pipeline - Udacity module.docker-compose-tutorial
The goal of this project is to create a simple application through Docker Compose.sparkify-etl
udacity-api-reporting-pipeline
dynamic-risk-assessment-system
deploy_ml_api
ml-pipeline
udacity-dwh-etl
This project refers to an example of populating a star schema on AWS - Redshift ingesting data from AWS - S3.udacity-data-modeling-sparkify
EDA_Python
A quick view on how to visualize data using Matplotlib and Seaborn.Love Open Source and this site? Check out how you can help us